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  2. Free probability - Wikipedia

    en.wikipedia.org/wiki/Free_probability

    Free probability is a mathematical theory that studies non-commutative random variables. The "freeness" or free independence property is the analogue of the classical notion of independence , and it is connected with free products .

  3. List of probability topics - Wikipedia

    en.wikipedia.org/wiki/List_of_probability_topics

    This is a list of probability topics. It overlaps with the (alphabetical) list of statistical topics. There are also the outline of probability and catalog of articles in probability theory. For distributions, see List of probability distributions. For journals, see list of probability journals.

  4. Fat Chance: Probability from 0 to 1 - Wikipedia

    en.wikipedia.org/wiki/Fat_Chance:_Probability...

    First edition. Fat Chance: Probability from 0 to 1 is an introductory undergraduate-level textbook on probability theory, centered on the metaphor of games of chance. [1] It was written by Benedict Gross, Joe Harris, and Emily Riehl, based on a course for non-mathematicians taught to Harvard University undergraduates, and published by the Cambridge University Press in 2019.

  5. Statistics - Wikipedia

    en.wikipedia.org/wiki/Statistics

    A typical statistics course covers descriptive statistics, probability, binomial and normal distributions, test of hypotheses and confidence intervals, linear regression, and correlation. [67] Modern fundamental statistical courses for undergraduate students focus on correct test selection, results interpretation, and use of free statistics ...

  6. Lists of statistics topics - Wikipedia

    en.wikipedia.org/wiki/Lists_of_statistics_topics

    Timeline of probability and statistics; List of unsolved problems in statistics; Probability. Topic outline of probability; List of probability topics.

  7. Statistics education - Wikipedia

    en.wikipedia.org/wiki/Statistics_education

    For a doctoral degree in statistics, it has been traditional that students complete a course in measure-theoretic probability as well as courses in mathematical statistics. Such courses require a good course in real analysis, covering the proofs of the theory of calculus and topics like the uniform convergence of functions.

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